← BioTransfer GEO Dataset Finder
GEO series

Loss of YTHDC1 m6A reading function promotes invasiveness in urothelial carcinoma of the bladder [RNA-seq]

GSE266223 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/12/16 Platform GPL24676
Summary
Bladder cancer poses significant clinical challenges due to its high metastatic potential and poor prognosis, especially when it progresses to muscle-invasive stages. Here, we show that the m6A reader YTHDC1 is downregulated in muscle-invasive bladder cancer and is negatively correlated with the expression of epithelial‒mesenchymal transition genes. The functional inhibition or depletion of YTHDC1 increased the migration and invasion of urothelial cells. Integrative analysis of multimodal sequencing datasets provided detailed insights into the molecular mechanisms mediating YTHDC1-dependent phenotypes and identified SMAD6 as a key transcript involved in the invasiveness of urothelial carcinoma of the bladder. Notably, SMAD6 mRNA colocalized less with YTHDC1 in tumoral tissues than in paratumoral tissues, indicating disrupted binding during cancer progression. Our findings establish YTHDC1-dependent m6A reading as a critical epitranscriptomic mechanism regulating bladder cancer invasiveness and provide a paradigm for the epitranscriptomic deregulation of cancer-associated networks.
Published in
Loss of YTHDC1 m(6)A reading function promotes invasiveness in urothelial carcinoma of the bladder
Xu J, Koch J, Schmidt C et al. · Experimental & molecular medicine 2025 · PMID 39741187 · doi:10.1038/s12276-024-01377-x
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE266223_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1106403 and SRA study SRP505067. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.